• Management & Information Systems Review
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• v.4
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• pp.349-374
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• 2000

With rapid advances on Interactive technology, and the growing popularity of the Internet, Internet shopping receives considerable attention in both the popular-press and academic journals. The Internet has enormous commercial possibilities. But it is a new and dynamic medium that poses special challenges for marketers. The revolutionary nature of the Internet mandates that established wisdom on consumer marketing along with marketing-mix strategies has to be reexamined and perhaps radically revised. In order to assist marketers in this endeavor it is critical to understand consumers' buying behaviors of Internet shopping. But research in this area still very much its infancy. This study examined previous researches of Internet shopping and developed conceptual framework of Internet shopping modes. Additionally, this study examined empirical investigation of Internet shopping. Preliminary results suggests that there are significant differences in individuals' perceptions of Internet shopping and traditional shopping modes. Various factors influences on consumers' buying behavior on Internet shopping. There are Individuals' factors(personality, lifestyle, prior experience, perceived risk etc), shopping mall factors(trust, vividness, security, promotion, etc), product characteristics(product category, brand, etc), situational factors(time pressure, locational constraints etc), social/cultural factors(Norms, importance of other peoples etc). Additionally, We conducted empirical study of the impact of the Internet on consumer shopping behavior. We gathered consumers' reactions via an open-ended survey using a sample of 90 shoppers. We related the reactions to the factors of consumers' satisfaction or dissatisfaction of the Internet shopping. Consequently, there are many questions regarding factors that might influence Internet shopping. From theoretical and practical perspectives, studies that examine these factors would seem to offer much to the discipline. This paper has attempted th provide insights and direction of future empirical examination of Internet shopping.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.3
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• pp.3-12
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• 2019

Since offline contact becomes a strong differentiator as online market expands, the shopping mall calls for more complex and diverse tenant combinations and deployment plan strategies. There is, however, few practical research and causal verification of Tenant Mix, i.e., the combination and placement of tenant and users' behavior, has been conducted which is a key factor in spatial configuration. In practice, Tenant Mix is limited in prediction of consumption behavior of customers by the MD planners's experience and depends only on qualitative arbitrary plan. The purpose of this study is to find out the interrelationship between the spatial configuration and the users' behavior of Tenant Mix in shopping mall, and to present an objective basis in MD planning. According to the analysis, it was possible to know that there are differences in the relationship between the spatial configuration and the users' behavior dependent on the Tenant Mix, which is the space planning of shopping mall. It was also possible to find out the characteristics and differences in the users' behavior which is dependent on the spatial configuration for each tenant. Through this study, it was possible to know the impact of space organization on the users' behavior and the interrelationship between the use's behavior and spatial configuration by tenant together with their characteristics. We prove that the current MD planning has limitation due to lack of objective research on the combination and arrangement of space in the commercial space and only done empirically. This analysis can show the practical plan of combination and placement of tenant which is emphasized in complex and larger shopping malls, and contribute to the revitalization of shopping mall by better use of tenant.

• Journal of Fashion Business
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• v.1 no.4
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• pp.67-78
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• 1997

Fashion store patronage behavior can be observed when consumer's desires and expectations are fulfilled. Thus, in order to achieve successful business in sales, a retailer must continually analyze why target consumers choose particular stores and patronize them. This study identified the relevant factors of the patronage behavior of female college students residing in Seoul. Thus, this study can achieve Its goal of enabling retailers to predict shopping orientations and emphasis on store attributes, so that help retailer to establish new positions of their shops to differentiate them from others and, also, to reposition existing stores. The aims of this study were as follows; First, identify the classification of stores that female college students in Seoul patronize. Second, classify the female students' shopping orientations, emphasizing store attributes, and identify relationships between them and fashion store patronage behavior. Relationships between the factors of shopping orientations and store attributes, and patronage behavior were identified by use of Tukey's test, Duncan test, and ANOVA. As a result, it showed significant differences among patronage groups according to nearly every factor of shopping orientations and store attributes. As based on the results, this study is expected to assist that retailers can establish effective marketing strategies in order to make continuously consumers' partronage behavior of a store.

• Fashion & Textile Research Journal
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• v.24 no.6
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• pp.744-755
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• 2022

This study sought to verify the shopping values that tourists pursue by purchasing at travel destinations based on tourists' motivation and identify the effects of these values on the types of fashion items preferred by tourists. Furthermore, this study verified the tourist shopping behavior of three Asian countries-Korea, China, and Japan-from a cross-cultural perspective. To obtain a sample that represents tourist shoppers in each country, a survey was conducted on adult men and women in their 20s to 60s, and 986 subjects were collected: 300 Koreans, 385 Chinese, and 301 Japanese. Factor analysis, structural equation modeling, and multigroup SEM were performed on the collected data using SPSS Statistics and AMOS. Based on escaping-seeking theory, tourist intentions were divided into escaping and seeking motivations, and tourist shopping values were divided into functional, emotional, and social. The shopping items were divided into materials and experiential goods to understand the difference between the types preferred by tourists according to the perceived value. In addition, differences in tourist shopping behaviors according to the three nationalities were identified. The findings illustrate that the escaping motive affects emotional and social values, whereas the seeking motive affects all three. Moreover, it was confirmed that functional and emotional values affect preference for material and experiential goods, but social value only affects preference for material goods. For the cross-cultural study, differences in tourist shopping behavior according to nationality were identified.

• The Research Journal of the Costume Culture
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• v.24 no.5
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• pp.544-560
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• 2016

This study aimed to investigate the influence of consumers' innovativeness, perceived benefits of home shopping mobile apps, and satisfaction with telephone orders on switching to and satisfaction with such apps (for those who have used these apps). This study also investigated the influence of the aforementioned factors on the intention to switch to home shopping mobile apps (for those who have not used these apps). Data were collected from 546 customers ranging in age from 18 to 59 with experience purchasing fashion goods from home shopping networks, and 502 of the questionnaires were used in the statistical analyses. Structure equation models were employed using AMOS 23.0. The results were as follows: for consumers experienced with home shopping mobile apps, their innovativeness and perceived benefits of such apps (convenience, usefulness) influenced their switching behavior. Additionally, consumers' innovativeness and perceived benefits of these apps (usefulness, accessibility, interactiveness) affected their satisfaction with the apps. For those not experienced with home shopping mobile apps, consumers' innovativeness and perceived benefits of the apps (interactiveness, security, enjoyment) influenced their intention to switch to these apps. These results indicate that different strategies should be developed for home shopping consumers experienced and inexperienced with these apps for the improvement of app satisfaction.

• Fashion & Textile Research Journal
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• v.15 no.1
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• pp.46-56
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• 2013

This study categorizes online fashion shopping malls according to consumer store patronage behavior as well as classifies consumer groups by online shopping mall patronage to understand the unique characteristics in each phases of purchase. A quantitative survey was conducted using 487 questionnaires from women in their 20s and 30s. The data were analyzed using frequency analysis, cross-tabulations, factor analysis, T-test, ANOVA, cluster analysis, and ${\chi}^2$-test. The findings of this study are as follows. First, online shopping malls were classified into three types of 'integrated mall', 'open market' and 'specialized fashion mall'. Second, based on one of the three types of categorization consumer groups patronizing each type turned out as follows: integrated mall patrons (141, 28.95%), open market patrons (226, 46.41%) and the specialized mall patrons (119, 24.64%). Third, the characteristics of each group had significant differences according to clothing shopping orientation, information search, shopping mall behavior, spending on online shopping, and e-loyalty.

• Journal of Information Technology Applications and Management
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• v.23 no.4
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• pp.55-70
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• 2016

Recently, development of indoor positioning system and IoT such as beacon makes it possible to collect and analyze each customer's shopping behavior in off-line shopping malls. In this study, we propose a realtime brand recommendation scheme based on each customer's brand visiting history for off-line shopping mall with indoor positioning system. The proposed scheme, which apply collaborative filtering to off-line shopping mall, is composed of training and apply process. The training process is designed to make the base brand network (BBN) using historical transaction data. Then, the scheme yields recommended brands for shopping customers based on their behaviors and BBN in the apply process. In order to verify the performance of the proposed scheme, simulation was conducted using purchase history data from a department store in Korea. Then, the results was compared to the previous scheme. Experimental results showd that the proposed scheme performs brand recommendation effectively in off-line shopping mall.

• Journal of Information Technology Services
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• v.11 no.sup
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• pp.61-74
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• 2012

As the retail industry has been challenged by stiff competition, the retailer becomes more interested in better understanding consumers' in-store behavior to gain and sustain competitive advantage. Consumers' shopping paths provide valuable clues to understanding customers' in-store behavior, which has been a long standing research issue in business. This study is to explore the shopping path patterns in a grocery using RFID technology and clustering method. To this end, we designed the RFID systems, affixing active RFID tags to the bottom of grocery carts. The tag emit signal that is received by receptors installed at various location throughout the store. The RFID systems provide the time and location of the cart while consumers shop around the store. The point of sale data are matched with the cart movement records to provide a complete picture of each shopping path. To find the distinctive patterns of consumers' shopping paths, we proposed the distance-index matrix using dijkstra method and normalization method to conduct the clustering in order to handle the problem in measuring the similarity among shopping paths, which is raised by the spatial nature of consumer movement in a grocery. After analyzing the RFID data obtained in one of the groceries in a major Korean retailer, we could successfully identify several distinctive patterns of shopping paths, which prove to provide the valuable implications for store management.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.107-115
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• 2018

US Retailers consider two major holiday shopping days as their most profitable-the Friday after Thanksgiving, Black Friday, and the Monday after Thanksgiving, CyberMonday. Online shopping discount events have boosted up the shopping markets resulting in pumping up National economy. For such reasons, Korea also has launched online shopping discount event, which is called 'Cyber hot days'. The primary purpose of this paper is to understand consumer behavior on Cyber hot days and suggest how retailers can harness those consumer behaviors and how government agency can support both retailers and consumers to boost up shopping markets. The results of empirical test shows that economic value, emotional value, and product variety were found to be significantly related to consumers' attitude on Cyber hot days, but convenience value, social value, and product uniqueness were not. Consumers' attitude was also found to be significantly related to the repurchase intention. It implicates that price, enjoyment, and product variety are important aspects to Korean consumers when they purchase during online shopping discount event.

• Journal of the Korean Home Economics Association
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• v.40 no.2
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• pp.87-100
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• 2002

The purpose of this study was to investigate the demographics and general clothing buying behavior according to clothing shopping orientation of female workers. A questionnaire was developed to measure clothing shopping orientation, fashion information sources, stores selection criteria, clothing purchasing frequency of a year, purchasing expenditure of clothing, the demographics. The questionnaire was administered to 775 female teacher in Chonnam. The data was analyzed using percentage, frequency, mean, factor analysis, Cluster Analysis, $\chi^2$-_test and ANOVA, Duncan test. The results of the study were as follows: 1. The female teachers were classified into four groups by the cluster analysis; indifferent shopping group, rational shopping group, conspicuous shopping group, recreational shopping group. 2. In the case of fashion information sources, significant differences were found according to shopping orientation subdivision in mass media information, information by consumer, information by marketer. 3. The stores selection criteria were significantly different depending on shopping orientation subdivision in goods and atmosphere of shop, promotion, convenience of shop's location. 4. The clothing purchasing frequency of a year were significantly different depending on shopping orientation subdivision. 5. The significant differences were found according to shopping orientation subdivision in purchasing expenditure of clothing. 7. In the demographic characteristics, significant differences were found according to shopping orientation subdivision in age, marriage, the length of one's work, income.